Call for Papers

Background:

Biomedical imaging and artificial intelligence (AI) are rapidly transforming neurorehabilitation by enabling precise diagnosis, prognosis, and personalized therapy planning for patients with neurological disorders. Advances in neuroimaging modalities—such as MRI, CT, and functional imaging—combined with AI techniques, including deep learning, computer vision, and predictive modeling, allow clinicians and researchers to extract meaningful biomarkers of brain injury and recovery potential. These insights support targeted interventions for conditions such as stroke, traumatic brain injury, and neurodegenerative diseases. AI-powered rehabilitation systems can integrate imaging data with real-time sensor feedback, adaptive algorithms, and virtual or augmented reality environments to optimize therapy intensity, timing, and modality. This multidisciplinary field merges expertise from neurology, biomedical engineering, informatics, and rehabilitation sciences, offering a pathway toward more effective, cost-efficient, and patient-specific neurorehabilitation strategies. As technology continues to evolve, the convergence of biomedical imaging and AI holds significant promise for reshaping clinical practice and improving long-term patient outcomes.

Goal/Rationale:

The symposium of Biomedical Imaging and AI Applications in Neurorehabilitation will bring together clinicians, researchers, and engineers to discuss how advanced imaging modalities—such as MRI, CT, and functional neuroimaging—combined with AI techniques like deep learning, predictive modeling, and automated image analysis can advance the diagnosis, prognosis, and treatment of neurological disorders. Special emphasis will be placed on applications in stroke rehabilitation, traumatic brain injury, and neurodegenerative diseases, where imaging biomarkers can guide personalized interventions and monitor recovery. The symposium will also highlight AI-powered tools for therapy planning, image-guided interventions, and adaptive rehabilitation systems that respond to patient progress in real time. By fostering interdisciplinary collaboration, the event aims to accelerate the translation of AI-driven imaging innovations into clinical practice, improving patient outcomes and shaping the future of neurorehabilitation worldwide.

Scope and Information for Participants:

Detailed research topics include, but are not limited to:

• AI-Driven Multimodal Neuroimaging Data Analysis
• Graph-Based Analysis and Complex Network Modeling in Brain Connectivity
• Longitudinal Imaging and Clinical Data for Neurological Disease Progression Modeling
• Interpretability, Explainability, and Scalability in Neurorehabilitation AI Models
• Integration and Standardization of Multi-Center Neuroimaging and Clinical Datasets
• Domain Adaptation, Transfer Learning, and Data Harmonization in Brain Imaging AI
• Unsupervised and Self-Supervised Learning for Neurological Disorder Classification
• Deep Learning for Brain MRI, CT, and Functional Neuroimaging
• Synthetic Data and Cross-Modality Neuroimage Generation
• Uncertainty Estimation in AI Models for Neurological Diagnosis and Prognosis
• AI-Enabled Biomarker Discovery for Early Detection of Neurological Disorders
• AI-Powered Prediction of Rehabilitation and Intervention Outcomes
• Post-Stroke Recovery Prediction and AI-Assisted Rehabilitation Planning
• Detection and Prognosis of Neurodegenerative Diseases (e.g., AD, PD, ALS)
• Medical Imaging in Neurogenetics and Personalized Neurorehabilitation
• AI-Guided Neurosurgical Planning, Navigation, and Image-Guided Interventions
• AI-Driven Smart Neurorehabilitation Technologies for Personalized Therapy
• Development of Open-Access Neuroimaging Databases for AI Research

Submission:

Prospective authors are kindly invited to submit full papers that include title, abstract, introduction, tables, figures, conclusion and references. It is unnecessary to submit an abstract in advance. Please submit your papers in English.

Each paper should be no less than 4 pages. One regular registration can cover a paper of 6 pages, and additional pages will be charged. Please format your paper well according to the conference template before submission. Paper Template Download

Please prepare your paper in both .doc/.docx and .pdf format and submit your full paper by email with both formats attached directly to sympo_auckland@icmmgh.org

Important Dates:

Publication:

Accepted papers of the symposium will be published in Theoretical and Natural Science (TNS) (Print ISSN 2753-8818), and will be submitted to Conference Proceedings Citation Index (CPCI), Crossref, CNKI, Portico, Engineering Village (Inspec), Google Scholar and other databases for indexing. The situation may be affected by factors among databases like processing time, workflow, policy, etc.

Publication info

Title: Theoretical and Natural Science (TNS)
Press: EWA Publishing, United Kingdom
ISSN: 2753-8818, 2753-8826 (electronic)

This symposium is organized by ICMMGH 2026 and it will independently proceed the submission and publication process.

* The papers will be exported to production and publication on a regular basis. Early-registered papers are expected to be published online earlier.